Data Analyst

• Develop, iterate, and maintain comprehensive reports and automated dashboards using visualization platforms
• Analyze the end-to-end user journey
• Partner with growth and commercial teams to track performance and scale B2B initiatives
• Support the lifecycle marketing team by tracking engagement metrics and campaign performance
• Work closely with your mentor to upskill and transition into a senior role

Data Analyst, Growth

• Assist with development, execution, and maintenance of analytical workflows, scripts, reports, and dashboards
• Work with biological, analytical assay, and research datasets, including transcriptomics and proteomics data
• Perform data extraction, cleaning, harmonization, integration, and troubleshooting across multiple data sources and systems
• Support RNA-seq and proteomics data preprocessing, quality control, and exploratory analyses under guidance from senior scientists
• Support generation of figures, tables, summaries, and technical documentation for internal reports and presentations
• Maintain organized, traceable, and reproducible analytical workflows, datasets, and supporting documentation in accordance with internal procedures and SOPs
• Support maintenance and organization of cloud, database, and shared data storage environments
• Assist with workflow automation, cloud computing, and data processing activities using tools such as AWS, Git, and scripting languages
• Investigate data inconsistencies, missing information, and technical issues related to analytical datasets and reporting
• Collaborate with cross-functional teams including R&D, Manufacturing, Quality, and Data Science personnel

Data Analytics Associate

• The Practice Analytics Manager leads and delivers strategic analytics initiatives that drive financial performance, operational insight, and data-driven decision-making across the organization.
• This role is responsible for developing advanced reporting, forecasting, and pricing analytics while partnering cross-functionally to enhance visibility into business performance and support firm growth.
• Working closely with senior leadership and cross-functional teams, the Practice Analytics Manager plays a key role in operationalizing strategic priorities, including financial planning metrics, client segmentation, and cost efficiency.
• Work with the Practice Management Directors to develop and administer industry-level financial reporting, including establishing consistent reporting cadence and performance tracking.
• Perform client segmentation analysis and firm services tracking to monitor concentration risk and identify growth opportunities.
• Partner with the Consultant Engagement Team to establish productivity baselines, define improvement metrics, and implement reporting and outcome tracking workflows.
• Lead the Matter and Service Type Tagging initiative to improve data quality, reporting accuracy, and analytical insights.
• Support pricing and realization analysis, including Alternative Fee Arrangements (AFAs) and other pricing models, to enhance profitability and competitiveness.
• Collaborate on pipeline analytics, including probability-adjusted forecasting to improve revenue predictability.
• Operationalize Business Plan metrics, ensuring consistent measurement, reporting, and alignment with strategic objectives.
• Assist AI-enabled and automation initiatives to enhance financial reporting, forecasting, and pricing processes.
• Partner with cross-functional stakeholders to translate business needs into scalable analytics solutions and actionable insights.
• Communicate key insights, trends, and performance metrics effectively to leadership and stakeholders.

Practice Analytics Manager

• Transform data into clear insights that drive product, business, and operational decisions
• Analyze product, user, and business data to support decision-making
• Define and track key metrics, KPIs, and success indicators
• Build and maintain dashboards, reports, and self-service analytics

Senior Data Analyst

• Own product analytics end-to-end — funnels, adoption, retention, and ROI for every major feature launch on the SevenRooms platform.
• Build net new data products aimed at improving analytic and reporting capabilities
• Partner with Product Managers and Product Marketers on pre-launch hypotheses, beta testing results, post-launch measurement, and ongoing optimization.
• Design and ship PLG automations that translate product behavior into opportunity tagging, expansion signals, and CSM workflows.
• Apply GenAI and ML techniques — partnering with our GTM Engineer — to product analytics use cases like web-sourced feature adoption opportunities, transactions predictive modeling, and Add-On ICP scoring.
• Communicate closely in support of multiple PM’s with reporting and ad-hoc analysis

Data Analyst – In-Store

• Own and Enhance Reporting
• Develop and maintain core reporting assets, including dashboards, scorecards, and performance metrics
• Partner with stakeholders to translate business needs into actionable reporting and insights
• Deliver Data-Driven Insights
• Analyze data to identify trends, gaps, and opportunities across business development activities
• Present insights clearly to support decision-making at multiple levels of the organization
• Manage and Optimize Data Sources
• Extract and validate data from systems such as Salesforce and internal platforms
• Ensure data accuracy, consistency, and appropriate usage across use cases (e.g., campaigns, performance tracking)
• Drive Process Improvement & Automation
• Evaluate existing reporting and workflows to identify opportunities for efficiency gains
• Design and implement automated solutions to improve data collection, reporting, and scalability
• Advance Analytical Capabilities
• Apply analytical techniques to solve business problems
• Contribute to the team’s evolving use of data, tools, and best practices

• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
• Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
• Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
• Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
• Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
• Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
• Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

• People Data Analysis: Utilizing data from internal and external resources and applying statistical methods to find patterns in data related to recruitment, attrition, engagement, organizational structure, pay practices and more.
• Connect Data with Business Need and People Strategy: Partnering with People Business Partners, Centers of Excellence, and Business leadership, identify data trends and incorporate business context to make insightful connections between experience and data.
• Strategic Advisor: Offer practical and informed recommendations to improve policy, workforce planning, talent development, retention, etc. to achieve business goals.
• Reporting and Visualization: Collect and synthesize data into user-friendly dashboards to support data-driven decision-making.

People Analytics Manager

• Lead the creation & development of a standard library of reporting and/or analysis solutions for Data Sciences and other stakeholders.
• Gather requirements from a cross-functional group to a particular study question or operational activity.
• Build & configure solution to meet the requirements.
• Lead validation activities to prepare reporting solutions for release/usage.
• Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities.
• Deploy standard reporting solutions for use on a study-specific basis.
• Create & develop ad hoc reporting and/or analysis solutions – report, dashboard, visualization, or other – as requested by study team members.
• Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.

Clinical Data Analyst

• Lead end-to-end data analysis projects supporting divisional priorities while contributing to broader enterprise initiatives that influence business performance and member outcomes.
• Leverage advanced analytical techniques, industry research, and business knowledge to uncover trends, opportunities, and recommendations for strategic decision-making.
• Partner with stakeholders to identify opportunities for cost reduction, revenue growth, operational efficiency, and enhanced member experiences.
• Take ownership of the debit analytics ecosystem, redesigning and modernizing reporting capabilities to create scalable, actionable insights for product leaders and business partners.
• Transform complex data from multiple sources into meaningful business intelligence that supports product innovation and strategic planning.
• Design scalable dashboards and reporting solutions for informed organizational decision-making.
• Translate complex analyses into clear, actionable recommendations through visualizations and presentations.
• Guide teams through experimental design and interpretation of results with A/B testing efforts.
• Continuously refine KPIs, reporting methodologies, and performance measurement practices to improve visibility.
• Create reusable transformation logic and scalable datasets using Snowflake and advanced SQL techniques.
• Identify opportunities to enhance data infrastructure and workflows.
• Mentor and develop others within the analytics community, promoting best practices and analytical standards.

• Sourcing, transforming, validating, and analyzing data to support performance reporting, operational analytics, and regulatory needs
• Extracting data from core systems, including claims, enrollment, provider, utilization management, call center, and financial systems
• Developing and maintaining SQL queries, views, and data models to support reporting and analytics needs
• Performing data transformations, joins, and aggregations to create analysis-ready datasets
• Supporting data ingestion and integration across multiple source systems
• Performing data validation, reconciliation, and quality checks to ensure accuracy, completeness, and consistency
• Investigating and resolving data anomalies in collaboration with IT, vendors, and business stakeholders
• Documenting data sources, logic, and transformation rules
• Conducting exploratory and ad-hoc analysis to answer operational and business questions
• Supporting root cause analysis and investigative work requested by performance and operations teams
• Identifying data trends, anomalies, and patterns that may impact operational performance
• Delivering validated datasets and analytical outputs to Senior Performance Reporting Analysts and reporting teams
• Supporting the development of dashboards and reports by ensuring that underlying data is accurate and performant
• Assisting with performance metric calculations as defined by reporting governance
• Collaborating with data engineering and IT teams on data warehouse, data mart, and reporting layer enhancements
• Supporting automation of data pipelines and recurring analytical processes
• Participating in data governance, metadata management, and documentation initiatives

Data Analyst – Business Transformation

• Conduct in-depth analysis of player behavior metrics and feedback to identify trends, gaps, and opportunities across gameplay and systems.
• Develop and maintain dashboards in tools such as Looker to communicate findings and progress against goals.
• Partner with gameplay programmers to design and maintain event dictionaries, ensuring consistent telemetry data definitions.
• Identify objectives and queries for data collection across development (SPINT) and post-launch (PROD) databases.
• Translate complex data sets into clear, actionable insights that guide design, feature prioritization, and project strategy.
• Collaborate with user research teams to integrate quantitative data with qualitative findings, strengthening overall player experience insights.
• Participate in user research studies to understand player behaviors firsthand and identify new tracking opportunities.
• Support creation of research reports, visualizations, and presentations that combine telemetry and player study results.
• Provide expertise on data collection, telemetry architecture, and analytic methodologies to ensure quality and accuracy of player data.
• Act as a liaison between Game Analytics, User Research, and Development teams, ensuring analytic deliverables align with studio and project needs.
• Coordinate with Development Support and PSSQA to verify telemetry accuracy and relevance.
• Communicate analytic updates to research schedules and dependencies with partner teams.
• Evaluate new data sources, tools, and workflows to continuously improve analytic capabilities.
• Develop a deep familiarity with game systems, mechanics, and design goals to provide meaningful context for data trends and player behavior.
• Foster collaboration with development teams to gain a comprehensive understanding of gameplay systems and tools.
• Use contextual awareness to interpret why patterns occur in the data and to uncover underlying causes affecting player experience.
• Identify and communicate early indicators or warning signs within data that could affect design outcomes or player satisfaction.

Research Data Analyst

• Build, validate, and deploy predictive analytics models to forecast hiring trends, attrition risks, and talent supply gaps.
• Apply machine learning techniques (such as regression, classification, or natural language processing) to uncover deeper insights within recruiting and workforce planning datasets.
• Translate complex ML model outputs into actionable, strategic recommendations and clear data stories for recruiting leadership.
• Maintain and manage key Tableau dashboards, integrating predictive insights and advanced data models into user-friendly visualization tools.
• Automate manual reporting workflows and pipeline tasks to scale insight delivery across the organization.
• Partner with Finance, Workforce Planning, IT, and Data Engineering to align data pipelines and scale the infrastructure required for advanced analytics.
• Adapt quickly to changing priorities to ensure timely delivery in a dynamic environment.

Senior Analyst, Recruiting Data Analytics

• Designing, implementing, and managing complex data analysis initiatives that support revenue cycle performance and organizational financial objectives
• Balancing multiple concurrent requests from a wide range of stakeholders while maintaining accuracy, consistency, and timely delivery of analytical outputs

Principal Data Analyst – Revenue Cycle

• Act as the primary architect for our People technology. You will define how our various people tech systems (e.g., for ATS, HRIS, Payroll, Benefits) connect, ensuring our tech stack scales ahead of our headcount.
• As the internal owner for our Workday implementation, you will serve as the primary architect and project lead for our transition to the platform. You will translate complex business requirements into scalable Workday configurations, ensuring that our data architecture supports long-term growth and high-integrity reporting.
• Lead the end-to-end lifecycle of system evaluations and systems implementations as needed. You will gather requirements, manage project timelines, and lead technical configurations to ensure any new tools / systems integrate seamlessly into our workflows.
• Own the connections and integrations between our systems. You will be responsible for building and monitoring integrations that eliminate manual data entry, ensuring that information flows accurately and reliably between our various systems.
• Define the roadmap for how we collect, store, and use people data. You will determine which metrics matter (e.g., turnover, caregiver capacity, hiring) and ensure our data is structured, audit-ready, and compliant.
• Serve as the strategic lead for people analytics, collaborating with our Business Analytics Associate to develop data modeling, dashboards, and visualizations that will support our business. As part of this, you will design executive-ready dashboards and narratives that help leadership understand workforce trends and make informed decisions about our growth and our people.
• You will identify manual bottlenecks in our operational processes (including processes like onboarding and offboarding) and design automated, scalable solutions to fix them.
• Partner closely with key stakeholders to figure out what they actually need from our systems to be successful. You’ll take those high-level requirements and turn them into a cohesive, scalable technical reality, ensuring our solutions are not just quick fixes, but compliant, integrated systems that support our people as we grow.
• Ensure our team actually knows how to use the systems you support and the tools you build. You will create clear, "down-to-earth" documentation and lead training sessions that drive high adoption and reduce user error.
• Manage our relationships with third-party systems vendors and consultants. You’ll hold them accountable for performance, manage renewals, and ensure we are getting the most out of our technology investments.

People Systems & Analytics Manager

• Produce recurring reporting for senior leadership, including maintaining and updating Monthly Business Review (MBR) slides with company-level KPIs and narrative context.
• Build, own, and continuously improve self-serve dashboards for organizations/teams.
• Respond to reporting requests from Philanthropy, translating questions into clear requirements, pulling the right data, and delivering outputs on schedule.
• Align on metric definitions, reconcile discrepancies, and partner with data/engineering where instrumentation or pipeline issues impact reporting.
• Create lightweight analyses to add context to reporting and communicate findings in plain language.
• Improve reporting workflows by templating, documenting processes, and automating repeatable tasks.

Data Analyst I, Analytics Reporting

• Own analytics strategy for Transaction Analytics, establishing scalable measurement frameworks and KPIs.
• Drive experimentation strategy for new product features and experiences by designing intelligent, valid experiments using an in-house platform.
• Lead complex data mining and exploratory analyses to identify risk patterns, experience gaps, and behavioral trends.
• Develop executive-ready dashboards and reporting solutions that provide actionable insights across Transactions cross-functional team.
• Partner cross-functionally with Product, Business Strategy, Design, and Engineering teams to translate ambiguous business problems into structured analytical solutions.
• Contribute to and optimize lightweight ETL processes, ensuring high data quality, reliability, and governance standards.
• Influence senior leaders through compelling storytelling grounded in data.
• Raise the analytical bar across the organization by mentoring analysts and defining best practices in data governance, documentation, and experimentation.

Principal Data Analyst – Transaction Analytics, Payments

• Manage and optimize GPU capacity and other compute resources across various cloud service providers
• Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics
• Analyze the technical and business needs for GPU capacity and other compute resources
• Identify performance bottlenecks in day-to-day usage of compute resources and collaborate to resolve them
• Drive infrastructure resource efficiency initiatives in partnership with engineering, finance, and product teams
• Develop and enhance tooling for our cloud infrastructure and analytics platform to optimize resource usage and performance
• Partner and cross-collaborate with Finance, Product, Service Owners, and Infrastructure Engineering teams

Capacity Operations and Analytics Manager

• Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces.
• Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.
• Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration, automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.)
• Document data architecture, key components, and data flows to ensure clarity.
• Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem.
• Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights.
• Develop and monitor key metrics, including setting up automated dashboards and recurring reports.
• Lead data initiatives and experimentation, defining measurement approaches and evaluating success.

• Create and maintain dashboards and reports that track key success metrics.
• Analyze customer and prospect behavior, product usage, and retention data to drive company strategy.
• Partner with GTM and Product teams to create and implement initiatives that enhance onboarding, engagement, and customer satisfaction.
• Collaborate with Finance to build models and forecasts that inform strategic decisions.
• Plan, manage, and deploy customer and/or prospect territories.
• Effectively communicate data-driven findings and strategic recommendations to key stakeholders.
• Design and implement process improvements to drive scalability.

See all jobs on JobTailor

Data Analyst, Growth

Data Analytics Associate

Practice Analytics Manager

Senior Data Analyst

Data Analyst – In-Store

Data Analyst

Data Analyst

People Analytics Manager

Clinical Data Analyst

Senior Data Analyst

Data Analyst – Business Transformation

Research Data Analyst

Senior Analyst, Recruiting Data Analytics

Principal Data Analyst – Revenue Cycle

People Systems & Analytics Manager

Data Analyst I, Analytics Reporting

Principal Data Analyst – Transaction Analytics, Payments

Capacity Operations and Analytics Manager

Senior Data Analyst

Sales Analytics Manager